aamer aamer aamer aamer - 3 months ago 29
Python Question

How does the following Python expression work?

I have got the following python expression in my code

import numpy as np
a = np.array([1,0,1,0])
b = np.array([True,False,False,True])
print a[b],b[a]

The output i am getting looks like this:

[1 0] [False True False True]

I am not able to understand how this output is generated.

Can anybody explain it.


They are two difference cases

a[b] is logical indexing. The index b must be a boolean array, the same size as a. Each boolean value of b mean take/leave this element of a. That is: for each pair of values in a_i, b_i in vectors a, b: If b_i == True, add a_i to the output vector, otherwise ignore it.

b[a] is indexing with multiple values. Just like in normal python you can do b[0] to take the first value of b, in numpy you can use an array as index, to take multiple elements. in your case, this produces the same result as [b[1], b[0], b[1], b[0]]